Wydane 2002
Spis treści:
“…I Foundations -- 1 An Introduction to Evolutionary Algorithms -- 2 An Introduction to Probabilistic Graphical Models -- 3 A Review on Estimation of
Distribution Algorithms -- 4 Benefits of Data Clustering in Multimodal Function Optimization via EDAs -- 5 Parallel Estimation of
Distribution Algorithms -- 6 Mathematical Modeling of Discrete Estimation of
Distribution Algorithms -- II Optimization -- 7 An Empirical Comparison of Discrete Estimation of
Distribution Algorithms -- 8 Results in Function Optimization with EDAs in Continuous Domain -- 9 Solving the 0-1 Knapsack Problem with EDAs -- 10 Solving the Traveling Salesman Problem with EDAs -- 11 EDAs Applied to the Job Shop Scheduling Problem -- 12 Solving Graph Matching with EDAs Using a Permutation-Based Representation -- III Machine Learning -- 13 Feature Subset Selection by Estimation of
Distribution Algorithms -- 14 Feature Weighting for Nearest Neighbor by EDAs -- 15 Rule Induction by Estimation of
Distribution Algorithms -- 16 Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs -- 17 Comparing K-Means, GAs and EDAs in Partitional Clustering -- 18 Adjusting Weights in Artificial Neural Networks using Evolutionary Algorithms.…”
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